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Diagnostic Method of Diabetes Based on Support Vector Machine and Tongue Images
Cui, Ji, Tu, Li Ping, Chen, Qingguang, Hu, Xiao-juan, Xu, Jia-Tuo, Zhang, Jianfeng, Huang, Jingbin
Published in BioMed research international (01.01.2017)
Published in BioMed research international (01.01.2017)
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Support vector machine classification and characterization of age-related reorganization of functional brain networks
Meier, Timothy B., Desphande, Alok S., Vergun, Svyatoslav, Nair, Veena A., Song, Jie, Biswal, Bharat B., Meyerand, Mary E., Birn, Rasmus M., Prabhakaran, Vivek
Published in NeuroImage (Orlando, Fla.) (01.03.2012)
Published in NeuroImage (Orlando, Fla.) (01.03.2012)
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Classification of Autism Spectrum Disorder Using Random Support Vector Machine Cluster
Bi, Xia-an, Wang, Yang, Shu, Qing, Sun, Qi, Xu, Qian
Published in Frontiers in genetics (06.02.2018)
Published in Frontiers in genetics (06.02.2018)
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Diagnosis by Volatile Organic Compounds in Exhaled Breath from Lung Cancer Patients Using Support Vector Machine Algorithm
Sakumura, Yuichi, Koyama, Yutaro, Tokutake, Hiroaki, Hida, Toyoaki, Sato, Kazuo, Itoh, Toshio, Akamatsu, Takafumi, Shin, Woosuck
Published in Sensors (Basel, Switzerland) (04.02.2017)
Published in Sensors (Basel, Switzerland) (04.02.2017)
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Subject based feature selection for hybrid brain computer interface using genetic algorithm and support vector machine
Mateen, Nida, Naeem, Mehreen, Khan, Muhammad Jawad, Yousaf, Talha, Ali, Ahsan, Altabey, Wael A., Noori, Mohammad, Kouritem, Sallam A
Published in Results in engineering (01.09.2025)
Published in Results in engineering (01.09.2025)
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Using Support Vector Machine on EEG for Advertisement Impact Assessment
Wei, Zhen, Wu, Chao, Wang, Xiaoyi, Supratak, Akara, Wang, Pan, Guo, Yike
Published in Frontiers in neuroscience (12.03.2018)
Published in Frontiers in neuroscience (12.03.2018)
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A support vector machine-based cure rate model for interval censored data
Pal, Suvra, Peng, Yingwei, Aselisewine, Wisdom, Barui, Sandip
Published in Statistical methods in medical research (01.12.2023)
Published in Statistical methods in medical research (01.12.2023)
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A support vector machine-based approach to guide the selection of a pseudo-reference region for brain PET quantification
Tang, Chunmeng, Vanderlinden, Greet, Schroyen, Gwen, Deprez, Sabine, Van Laere, Koen, Koole, Michel
Published in Journal of cerebral blood flow and metabolism (01.03.2025)
Published in Journal of cerebral blood flow and metabolism (01.03.2025)
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Classification of fMRI independent components using IC- fingerprints and support vector machine classifiers
De Martino, Federico, Gentile, Francesco, Esposito, Fabrizio, Balsi, Marco, Di Salle, Francesco, Goebel, Rainer, Formisano, Elia
Published in NeuroImage (Orlando, Fla.) (2007)
Published in NeuroImage (Orlando, Fla.) (2007)
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Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data
Mourão-Miranda, Janaina, Bokde, Arun L.W., Born, Christine, Hampel, Harald, Stetter, Martin
Published in NeuroImage (Orlando, Fla.) (01.12.2005)
Published in NeuroImage (Orlando, Fla.) (01.12.2005)
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Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine
Mourão-Miranda, Janaina, Hardoon, David R., Hahn, Tim, Marquand, Andre F., Williams, Steve C.R., Shawe-Taylor, John, Brammer, Michael
Published in NeuroImage (Orlando, Fla.) (01.10.2011)
Published in NeuroImage (Orlando, Fla.) (01.10.2011)
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